Rev Cuid. 2026; 17(2): 5177
Abstract
Introduction: Hypertension has multiple risk factors that need
to be identified in specific contexts to guide the prioritization and
implementation of effective control strategies.
Objective: To assess
the association between hypertension and risk factors in Peruvian
outpatients. Materials and Methods: An analytical, retrospective,
observational study was conducted in 286 patients attending a
primary healthcare center. High blood pressure and risk factor
values were obtained using two diagnostic interpretation guides
adapted by official institutions. Univariate analysis was performed
using frequency distributions, and associations were assessed with
the chi-square test for homogeneity (p<0.05) and prevalence odds ratios. Results:
total of 37.76% of patients had hypertension. The
most frequent risk factors were low HDL cholesterol (56.29%) and
elevated body mass index (60.49%). Elevated HbA1c was associated
with a more than threefold increased risk of hypertension. Elevated
total cholesterol, LDL cholesterol, and fasting blood glucose were
associated with a more than twofold increased risk in women. In
men, increased waist circumference was associated with a more than
threefold increased risk, and in older adults, with a more than twofold
increased risk. Discussion: Context shapes the association between
hypertension and risk factors, given the specific characteristics of each
setting and differing social determinants. Conclusion: Hypertension
was significantly associated with elevated HbA1c, total cholesterol,
LDL cholesterol, fasting blood glucose, and waist circumference.
Timely and appropriate interventions targeting the identified risk
factors could slow the occurrence of hypertension.
Keywords: Chronic Disease; Hypertension; Risk Factors; Health
Centers; Primary Health Care; Peru.
Resumen
Introducción: La hipertensión arterial presenta factores de riesgo, que
requieren ser identificados en
contextos específicos para la priorización y operativización de estrategias de control efectivas.
Objetivo: Asociar la hipertensión arterial y los factores de riesgo en pacientes
ambulatorios peruanos.
Materiales y Métodos:
Estudio analítico, retrospectivo y observacional, efectuado con 286 pacientes que acudieron
a un centro de salud primario. Los valores de hipertensión arterial y factores de riesgo se obtuvieron
mediante dos guías de interpretación diagnóstica, adaptadas de instituciones oficiales. El análisis
univariado fue a través de frecuencias y la asociación con el chi cuadrado de homogeneidad (p<0,05) y
odds ratio de prevalencia. Resultados: El 37,76% de pacientes tenían hipertensión
arterial, los factores
de riesgo más frecuentes fueron el C-HDL disminuido (56,29%) y el índice de masa corporal elevado
(60,49%), la HbA1c elevada representó más de 3 veces riesgo para hipertensión arterial, el C-Total,
el
C-LDL y la glucemia en ayunas elevados más de 2 veces riesgo en mujeres, en varones el perímetro
abdominal elevado más de 3 veces riesgo y en adultos mayores más de 2 veces riesgo.
Discusión: El
contexto determina la asociación de la hipertensión arterial con los factores de riesgo, debido a
las
características propias de cada lugar y a los determinantes sociales diferenciados.
Conclusión: La
hipertensión arterial se asoció de manera significativa con la HbA1c, C-Total, C-LDL, glucemia en
ayunas
y perímetro abdominal elevados. La intervención oportuna y acertada sobre los factores de riesgo
identificados, ralentizaría la ocurrencia de hipertensión arterial.
Palabras Clave: Enfermedad Crónica; Hipertensión; Factores de
Riesgo; Centros de Salud; Atención
Primaria de Salud; Perú.
Resumo
Introdução: A hipertensão apresenta fatores de risco que precisam ser
identificados em contextos
específicos para a priorização e implementação de estratégias de controle eficazes.
Objetivo: Determinar
a associação entre hipertensão e fatores de risco em pacientes ambulatoriais peruanos. Materiais
e
Métodos: Trata-se de um estudo analítico, retrospectivo e observacional realizado com 286
pacientes
atendidos em um centro de atenção primária à saúde. Os valores de hipertensão e fatores de risco foram
obtidos utilizando dois guias de interpretação diagnóstica adaptados de instituições oficiais. A análise
univariada foi realizada utilizando frequências, e as associações foram avaliadas pelo teste
qui-quadrado para homogeneidade (p<0,05) e pela razão de chances para prevalência.
Resultados:
37,76% dos pacientes apresentavam hipertensão. Os fatores de risco mais frequentes foram colesterol
HDL reduzido (56,29%)
e índice de massa corporal elevado (60,49%). A hemoglobina glicada (HbA1c) elevada representou um
risco mais de três vezes maior para hipertensão. Níveis elevados de colesterol total, colesterol LDL
e
glicemia de jejum representaram um risco mais que duas vezes maior em mulheres, enquanto
circunferência
abdominal elevada representou um risco mais que três vezes maior em homens e mais que duas vezes
maior em idosos. Discussão: O contexto determina a associação da hipertensão com os
fatores de risco,
devido às características específicas de cada local e aos determinantes sociais diferenciados.
Conclusão:
A hipertensão foi significativamente associada a níveis elevados de HbA1c, colesterol total,
colesterol LDL,
glicemia de jejum e circunferência abdominal. Intervenções oportunas e adequadas sobre os fatores de
risco identificados podem retardar o desenvolvimento da hipertensão.
Palavras-Chave: Doença Crónica; Hipertensão; Fatores de Risco;
Centros de Saúde; Atenção Primária à
Saúde; Peru.
Introduction
As a chronic condition, hypertension is often diagnosed after years of disease progression in
patients.
Its severity is determined not only by the underlying disease process but also by its complications,
which make it the leading cardiovascular risk factor and, consequently, increase cardiovascular
morbidity and mortality1.
Worldwide, more than one-quarter of the population has hypertension,
and over half of affected individuals do not achieve adequate disease control. This results in a range
of cardiovascular, ocular, renal, and cognitive complications that collectively increase the global
burden of disease2 .
Hypertension has been associated with modifiable risk factors, including excess body weight,
which
affects nearly half (47.90%) of the Asian population, particularly in urban settings. This is largely
attributable to industrialization processes that promote the consumption of packaged foods, reduced
physical activity, and, consequently, alterations in biochemical markers3. One such marker is highdensity
lipoprotein cholesterol (HDL cholesterol), which is decreased in patients with hypertension
and is inversely associated with increases in blood pressure and other lipid fractions, such as lowdensity
lipoprotein cholesterol (LDL cholesterol)4. These findings reflect dietary imbalances and
represent a cascade of functional alterations throughout the course of the disease. In this regard, a
study conducted in China identified higher body mass index (BMI), total cholesterol, LDL cholesterol,
and fasting blood glucose as factors associated with hypertension, particularly in women5.
Elevated glycated hemoglobin (HbA1c), as an intermediate-term indicator, increases the risk
of
hypertension in the early stages of diagnosis6. This marker is also associated with type 2 diabetes
mellitus, suggesting a shared etiopathogenesis between both conditions and an interrelated
trajectory in disease progression and the development of complications. Likewise, fasting blood
glucose elevation coexists with hypertension, and both synergistically exacerbate cardiovascular
damage in patients, increasing healthcare utilization and both direct and indirect healthcare costs.
It remains unclear whether hypertension precedes diabetes or vice versa; however, effective blood
pressure control increases the likelihood of achieving glycemic control in patients7.
Increased waist circumference, or central obesity, is also an important risk factor for
hypertension.
As abdominal circumference increases, blood pressure (mmHg) rises proportionally, and this occurs
from the early stages of the disease. Central obesity is associated with the accumulation of abdominal
fat deposits, driven by alterations in lipid and carbohydrate metabolism8. In addition, central obesity
disrupts the normal functioning of the immune and endocrine systems and increases the risk of
insulin resistance, elevated blood pressure, diabetes, and cardiovascular disease9.
To varying degrees, risk factors contribute to the development of hypertension through
complex
and multifactorial mechanisms; therefore, interventions should be tailored to each specific context
to achieve appropriate outcomes10.
In this regard, characterizing each patient’s risk profile based on
internal and external factors facilitates the design of preventive strategies to modify, eliminate, or slow
the progression of risk factors and the onset or progression of hypertension. As a noncommunicable
disease, hypertension is amenable to prevention and control.
Understanding the characteristics of each risk factor and its association with hypertension
within the
specific context in which patients or vulnerable populations reside enables more targeted, contextspecific
actions to raise awareness of the medium- and long-term harms of prolonged exposure
to certain risk factors. Active participation of the population is therefore essential to control this
situation. To make this association evident, the objective of this study was to assess the association
between hypertension and risk factors in Peruvian outpatients.
Materials and Methods
An analytical, retrospective, observational study was conducted between February and March
2022
in 286 patients attending the Patrona de Chota Health Center in Peru. The study population included
patients aged 30 years and older, of both sexes, who were registered and had received care through
the end of December 2021, and for whom sufficient information was available in their medical
records. Patients with missing data required for the study were excluded.
Data from medical records were collected using document analysis. Data extraction was
performed using two diagnostic assessment instruments: the first, adapted from the American Heart
Association11,
was used to evaluate hypertension (normal blood pressure: systolic blood pressure
[SBP] <120 mmHg and diastolic blood pressure [DBP] <80 mmHg; elevated: SBP 120–129 mmHg and DBP <80 mmHg;
hypertension stage 1: SBP 130–139 mmHg or DBP 80–89 mmHg; hypertension stage 2: SBP ≥140 mmHg or DBP ≥90
mmHg; hypertensive crisis: SBP ≥180 mmHg and DBP>120 mmHg); and the second, adapted from the Ministry of
Health of Peru12, was used to
assess risk factors (smoking: yes/no; total cholesterol: 125–199 mg/dL [normal], ≥200 mg/dL [elevated];
LDL cholesterol: <130 mg/ dL [normal], ≥130 mg/dL [elevated]; HDL cholesterol: men>40 mg/dL [normal],
≤40 mg/dL [low],
and women >50 mg/dL [normal], ≤50 mg/dL [low]; triglycerides: <150 mg/dL [normal], ≥150 mg/dL
[elevated]; fasting blood glucose: 100–125 mg/dL [normal], ≥126 mg/dL [elevated]; HbA1c: ≤8.3%
[normal],>8.3% [elevated]; body mass index [BMI]: <25 kg/m2 (normal), 25–29.9
kg/m2 [overweight], and ≥30[obesity]; waist circumference: men <102 cm [normal],
≥102 cm [increased], and women <88 cm [normal], ≥88 cm [increased]). Normal and abnormal
values were coded to assess associations between variables.
For data collection, permission and formal authorization were
obtained from the director of the health center where the study was conducted.
Following approval, access to medical records
was arranged with the head of the admissions unit from February to March 2022,
during daytime hours. Once the relevant records were identified, data were extracted
and transcribed into the
diagnostic assessment instruments, according to the inclusion criteria, for
subsequent analysis.
For univariate analysis, absolute and relative frequencies were
calculated, along with 95% confidence intervals. Associations between variables were
assessed using the chi-square test of
homogeneity (p<0.05) and prevalence odds ratios, with stratified analyses by sex and
age using the Mantel– Haenszel test. Statistical analyses were performed using
SPSS version 26. The data are available in Mendeley Data13.
The study adhered to ethical principles. Data were collected from
medical records following written authorization from the director of the Patrona de
Chota Health Center and the head
of the admissions unit of the same institution. The study was also approved by a
scientific committee
of the Faculty of Health Sciences at the Universidad Nacional Autónoma de Chota,
Peru (Faculty
Resolution No. 027-2022-FCCSS-UNACH/C). Data were handled exclusively by the
researchers, ensuring
confidentiality and discretion required for research involving human participants.
Results
A considerable proportion of patients had hypertension (37.76%) Table 1; of these, more than half were
older adults (66.67%) and women (67.59%), with a median disease duration of 4.50
years [Q1: 2–Q3: 7].
Table 1. Frequency of hypertension in patients attending a Peruvian
health center. (n = 286)
X
Table 1. Frequency of hypertension in patients attending a
Peruvian health center. (n = 286)
| Hypertension
status |
% (n) |
95% CI |
|
Present
|
37.76 (108) |
32.14 – 43.38 |
|
Absent |
62.24 (178) |
56.62 – 67.86 |
CI:
Confidence interval
The most frequent risk factors were low HDL cholesterol (56.29%) and
elevated BMI (60.49%), which
may reflect high intake of carbohydrates, saturated fats, or trans fats Table 2.
Table 2. Risk factors for hypertension in patients attending a Peruvian
health center. (n=286)
X
Table 2. Risk factors for hypertension in patients attending a
Peruvian health center. (n=286)
|
Risk factors |
% (n) |
95% CI
|
|
Smoking |
Yes |
10.14 (29) |
6.64 - 13.64 |
|
|
No |
89.86 (257) |
86.36 - 93.36 |
|
|
Total cholesterol (mg/dL) |
|
Elevated (≥200) |
22.03 (63) |
17.23 - 26.83 |
|
|
Normal |
78.97 (223) |
74.25 - 83.69 |
|
|
LDL cholesterol (mg/dL) |
|
Elevated (≥130) |
16.08 (46) |
11.82 - 20.34 |
|
|
Normal |
83.92 (240) |
79.66 - 88.18 |
|
|
HDL cholesterol (mg/dL) |
|
|
Low (men: <41, women: <51) |
56.29 (161) |
50.54 - 62.04 |
|
|
Normal |
43.71 (125) |
37.96 - 49.46 |
|
|
Triglycerides (mg/dL) |
|
|
Elevated (≥150) |
34.27 (98) |
28.77 - 39.77 |
|
|
Normal |
65.73 (188) |
60.23 - 71.23 |
|
Fasting blood glucose (mg/dL) |
|
|
Elevated (≥126) |
9.79 (28) |
6.35 - 13.23 |
|
|
Normal |
90.21 (258) |
86.77 - 93.65 |
|
|
HbA1c (%) |
|
|
Elevated (>8.3) |
4.89 (14) |
2.39 - 7.39 |
|
|
Normal |
95.11 (272) |
92.61 - 97.61 |
|
|
BMI (kg/m²) |
|
|
|
|
Obesity (≥30) |
19.93 (57) |
15.30 - 24.56 |
|
|
Overweight (25–29.9) |
40.56 (116) |
34.87 - 46.25 |
|
|
Normal |
39.51 (113) |
33.84 - 45.18 |
|
| Waist circumference (cm)
|
39.51 (113) |
33.84 - 45.18 |
|
|
Increased (men: ≥102, women: ≥88) |
47.90 (137) |
42.11 - 53.69 |
|
|
Normal |
52.10 (149) |
46.31 - 57.89 |
|
CI: Confidence interval; LDL: low-density
lipoprotein; HDL: high-density lipoprotein; HbA1c: glycated hemoglobin; BMI: body
mass index.
Elevated HbA1c was associated with a 3.14-fold increased risk of hypertension. Elevated total
cholesterol, LDL cholesterol, and fasting blood glucose were associated with more than a twofold
increased risk in women. In men, increased waist circumference was associated with a 3.28-fold
increased risk, and in older adults, with a 2.43-fold increased risk of the disease. These associations
were statistically significant (p<0.05); full results are presented in
Table 3.
Table 3. Association between hypertension and risk factors in patients attending a Peruvian
health center
Ver Más
X
Table 3. Association between hypertension and risk factors in patients attending a
Peruvian
health center
| Risk factors |
HTN % (n) |
No HTN % (n) |
PR OR(95% CI) |
Adjusted POR(95% CI) |
p-value* |
Smoking (yes) |
10.18 (11) |
10.11 (18) |
1.01 |
0.66 (0.26 - 1.68)** |
0.984
|
Smoking (no) |
89.82 (97) |
89.89 (160) |
(0.46 - 2.22) |
1.35 (0.24 - 7.69)*** |
Elevated total cholesterol |
26.85 (29) |
19.10 (34) |
1.56 |
2.08 (1.06 - 4.08)** |
0.031F
|
Normal total cholesterol |
73.15 (79) |
80.90 (144) |
(0.88 - 2.74) |
1.57 (0,66 - 3.71)*** |
Elevated LDL cholesterol |
21.29 (23) |
12.92 (23) |
1.82 |
2.81 (1.30 - 6.05)** |
0.007F
|
Normal LDL cholesterol |
78.71 (85) |
87.08 (155) |
(0.97 - 3.44) |
2.46 (0.83 - 7.24)*** |
Low HDL cholesterol |
56.48 (61) |
56.18 (100) |
1.01 |
1.77 (0.67 - 4.66)** |
0.960
|
Normal HDL cholesterol |
43.52 (47) |
43.82 (78) |
(0.63 - 1.64) |
1.15 (0.55 - 2.39)*** |
Elevated triglycerides |
37.96 (41) |
32.02 (57) |
1.30 |
1.31 (0.53 - 3.26)** |
0.305
|
Normal triglycerides |
62.04 (67) |
67.98 (121) |
(0.79 - 2.14) |
1.24 (0.57 - 2.71)*** |
Elevated fasting blood
glucose |
12.96 (14) |
7.87 (14) |
1.75 |
2.79 (1.07 - 7.30)** |
0.030F
|
Normal fasting blood
glucose |
87.04 (94) |
92.13 (164) |
(0.80 - 3.82) |
0.78 (0.30 - 2.06)*** |
Elevated HbA1c |
8.33 (9) |
2.81 (5) |
3.14 |
4.63 (1.16 - 18.49)** |
0.036
|
Normal HbA1c |
91.67 (99) |
97.19 (173) |
(1.03 - 9.65) |
2.48 (0.49 - 12.47)*** |
Elevated BMI |
62.04 (67) |
59.55 (106) |
1.11 |
2.10 (0.84 - 5.24)** |
0.677
|
Normal BMI |
37.96 (41) |
40.45 (72) |
(0.68 - 1.81) |
1.75 (0.84 - 3.66)*** |
Increased waist
circumference |
53,70 (58) |
44,38 (79) |
1.45 |
3.28 (1.22 - 8.81)** |
0.016 M |
Normal waist
circumference |
46.30 (50) |
55.62 (99) |
(0.90 - 2.35) |
2.43 (1.12 - 5.27)*** |
0.023 AM |
** Chi-square test of homogeneity; p<0.05 in bold. **
Adjusted for sex (Mantel–Haenszel), reference category: male. *** Adjusted for age (Mantel–Haenszel),
reference category: older adult. HTN: Hypertension; POR: prevalence odds
ratio; LDL: low-density lipoprotein; HDL: high-density lipoprotein; HbA1c: glycated hemoglobin; BMI:
body mass index; F: female; M: male; OA: older adult.
Discussion
The results are similar in some cases and differ in others compared with those reported in
previous studies. The prevalence of hypertension was lower than that reported in a German population, where
it reaches up to 60% as the population ages2 and was close to that observed in Tibet (31.40%)3. Regarding risk factors, the combined
prevalence of overweight/obesity in a Tibetan population was 47.90%3, lower than that found in this study; in contrast, in the
United States, one study reports
figures ranging from 65% to 75% for these conditions10,
Elevated HbA1c was associated with nearly
a threefold increased risk of hypertension (OR: 2.53) in a Sudanese population6, slightly lower than
that observed in the present study. Hypercholesterolemia due to increased total cholesterol and LDL
cholesterol showed similar results in an Algerian population, with a risk of 2.03 for hypertension14. For
elevated fasting blood glucose, the risk was 1.14-fold15, as was increased waist circumference, with
a risk ranging from 1.16 to 1.29 in Chinese adults8, both were lower than those found in this study.
Variations in hypertension frequency and in the association between risk factors and hypertension
across studies may be explained by the specific characteristics of each setting and by variations in
social determinants of health.
Hypertension affects one in three participants in this study, a proportion that is consistent
with global
estimates and should prompt targeted action by social stakeholders, given the organ damage this
condition causes (particularly to the heart and arteries) and the subsequent cardiovascular diseases,
complications, and functional limitations among affected individual1,16
. As a silent disease, it develops
gradually, and at the time of diagnosis, it is often already in advanced stages with established organ
involvement. However, early signs of disease onset can be identified promptly to guide preventive
and health promotion actions, particularly regarding associated risk factors17.
An important risk factor for hypertension is dyslipidemia, characterized by low HDL cholesterol
and elevated total cholesterol (adjusted POR=2.08 in women; p=0.031), LDL cholesterol (adjusted
POR=2.81 in women; p=0.007), and triglycerides, given its association with cardiovascular disease,
atherosclerosis, and stroke18. The
link between these conditions lies in the fact that dyslipidemia
causes vascular endothelial damage and indirectly affects arterial elasticity through impaired
endothelial function, primarily driven by elevated LDL cholesterol levels19. Maintaining appropriate
serum balance among the different components of the lipid profile contributes to proper vascular
function.
In addition, increased waist circumference was strongly associated with hypertension (adjusted
POR=3.28 in men; p=0.016; adjusted POR=2.43 in older adults; p=0.023), particularly among men.
This marker of central obesity appears to be more predictive of cardiovascular risk than BMI, which
did not show a significant association in this study. The underlying mechanism of this association is
nutritional imbalance, specifically excessive caloric intake that the body does not utilize and instead
stores as adipose tissue. This process is further reinforced by low levels of physical activity, sedentary
behavior, and regular alcohol consumption, factors that interact synergistically, leading to more
severe effects over the course of hypertension3,8,9,20,21.
HbA1c (adjusted POR=4.63 in women; p=0.036) is a risk factor for both hypertension and diabetes;
thus, elevated levels may indicate a link between these conditions in the same patient. This represents
a high-risk combination, as both are chronic diseases that affect major target organs, including the
brain, heart, and kidneys, and therefore require timely, appropriate, and effective control to prevent
physiological damage6,22,23,24. Similarly, elevated fasting blood glucose (adjusted
POR=2.79 in
women; p=0.030) also acts as a risk factor for hypertension. In contrast to HbA1c, it serves as a shortterm
indicator of plasma glucose fluctuations and contributes to hypertension by altering blood
viscosity, impairing normal blood flow, and increasing vascular workload to ensure adequate blood
distribution throughout the body7,25.
In contrast, factors that did not show a significant association
with hypertension were smoking, HDL cholesterol, triglycerides, and BMI.
In this context, reversal of hypertension risk factors can be achieved through nonpharmacologic,
restrictive, and health-promoting interventions, such as reducing or eliminating dietary sodium, which
has an antihypertensive effect and markedly reduces the risk of cardiovascular disease. These effects
are complemented by increasing intake of vegetables, fresh fruits, fish, cereals, unsaturated fatty
acids, and dietary fiber, which also contribute to weight loss and reduced blood pressure. Likewise,
regular physical activity provides additional benefits by promoting adequate glucose metabolism,
improving blood flow, and maintaining normal blood pressure. Control of alcohol intake, tobacco
use, stress, and depression further complements these measures to prevent the onset or progression
of hypertension26,27.
Health education is the most appropriate tool for informing and raising awareness among
vulnerable
individuals and their families about restrictive and health-promoting measures that help reduce
exposure to risk factors, control blood pressure, and support adherence to healthy lifestyles, thereby
restoring optimal health status and enabling individuals to enjoy a better quality of life, maintain autonomy,
and engage in daily activities. Therefore, it is the responsibility of primary health care
professionals to provide the necessary resources to vulnerable populations to implement actions that
achieve these objectives28.
Although the retrospective nature of data collection may represent a limitation of the study,
this is
mitigated by the inclusion of the entire population and the use of data from the health center’s official
records.
Conclusions
More than one-third of patients had hypertension; most were older adults and women, with an
average
disease duration of 5 years. The most frequent risk factors were low HDL cholesterol and increased
BMI. Elevated HbA1c was associated with more than a threefold increased risk of hypertension.
Elevated total cholesterol, LDL cholesterol, and fasting blood glucose were associated with a more
than twofold increased risk in women. In men, increased waist circumference was associated with a
more than threefold increased risk, and in older adults, with a more than twofold increased risk of the
disease.
The risk factors identified in this study are modifiable, and their alteration is primarily
attributable to
unhealthy dietary patterns and/or insufficient physical activity among patients. Therefore, education
on disease management, recommended care practices, and lifestyle modifications should be
initiated promptly and prioritized upon diagnosis to ensure an adequate quality of life for affected
individuals. These interventions should be implemented through shared agreements among health
care professionals, patients, and primary caregivers in order to achieve the proposed goals.
Conflict of interest: The authors declare no conflicts of interest related to
this study.
Funding: The study received no funding.
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